IDEAS home Printed from https://ideas.repec.org/p/toh/tupdaa/75.html
   My bibliography  Save this paper

Nonlinear Earnings Dynamics and Inequality over the Life Cycle: Evidence from Japanese Municipal Tax Records

Author

Listed:
  • Sagiri Kitao
  • Michio Suzuki
  • Tomoaki Yamada

Abstract

This paper examines life-cycle earnings risk and income inequality in Japan using municipal administrative tax records covering 2011–2021. We estimate an agedependent quantile model that decomposes idiosyncratic earnings into persistent and transitory components, allowing persistence to vary nonlinearly with individuals’ positions in the earnings distribution and the size of shocks. We find that persistence is high for shocks consistent with an individual’s earnings history but falls sharply for “reversal” shocks, which may represent career changes. Cross-sectional analysis shows that households pool income effectively: equivalized household income displays lower dispersion and a J-shaped life-cycle inequality profile compared to a monotonically rising profile for individual earnings. However, impulse response analysis reveals that when individuals or households at a given percentile of the persistent component distribution receive either a high or low percentile draw from the innovation distribution, the resulting earnings changes are larger for equivalized household earnings than for the earnings of the household head alone. This indicates that household and individual earnings distributions have distinct dynamic properties, with household-level responses potentially reflecting correlated spousal shocks, joint labor supply decisions, and demographic adjustments.

Suggested Citation

  • Sagiri Kitao & Michio Suzuki & Tomoaki Yamada, 2025. "Nonlinear Earnings Dynamics and Inequality over the Life Cycle: Evidence from Japanese Municipal Tax Records," TUPD Discussion Papers 75, Graduate School of Economics and Management, Tohoku University.
  • Handle: RePEc:toh:tupdaa:75
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/10097/0002006309
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mariacristina De Nardi & Giulio Fella & Gonzalo Paz-Pardo, 2020. "Nonlinear Household Earnings Dynamics, Self-Insurance, and Welfare," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 890-926.
    2. Arellano, Manuel & Blundell, Richard & Bonhomme, Stéphane & Light, Jack, 2024. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," Journal of Econometrics, Elsevier, vol. 240(2).
    3. Victor Chernozhukov & Iv·n Fern·ndez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves Without Crossing," Econometrica, Econometric Society, vol. 78(3), pages 1093-1125, May.
    4. Fatih Guvenen & Luigi Pistaferri & Giovanni L. Violante, 2022. "Global trends in income inequality and income dynamics: New insights from GRID," Quantitative Economics, Econometric Society, vol. 13(4), pages 1321-1360, November.
    5. Manuel Arellano & Stéphane Bonhomme, 2016. "Nonlinear panel data estimation via quantile regressions," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 61-94, October.
    6. repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    7. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    9. repec:spo:wpmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    10. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    11. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    12. repec:hal:spmain:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    13. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2017. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Econometrica, Econometric Society, vol. 85, pages 693-734, May.
    14. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    15. Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and probability curves without crossing," CeMMAP working papers CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. repec:spo:wpecon:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arellano, Manuel & Blundell, Richard & Bonhomme, Stéphane & Light, Jack, 2024. "Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence," Journal of Econometrics, Elsevier, vol. 240(2).
    2. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2017. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Econometrica, Econometric Society, vol. 85, pages 693-734, May.
    3. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    4. Manuel Arellano & Richard Blundell & Stéphane Bonhomme, 2017. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," Econometrica, Econometric Society, vol. 85, pages 693-734, May.
    5. Schennach, Susanne M., 2020. "Mismeasured and unobserved variables," Handbook of Econometrics, in: Steven N. Durlauf & Lars Peter Hansen & James J. Heckman & Rosa L. Matzkin (ed.), Handbook of Econometrics, edition 1, volume 7, chapter 0, pages 487-565, Elsevier.
    6. John Carter Braxton & Kyle F. Herkenhoff & Jonathan Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," Opportunity and Inclusive Growth Institute Working Papers 55, Federal Reserve Bank of Minneapolis.
    7. Crawley, Edmund & Theloudis, Alexandros, 2024. "Income Shocks and their Transmission into Consumption," Discussion Paper 2024-012, Tilburg University, Center for Economic Research.
    8. Manuel Arellano & Stéphane Bonhomme, 2017. "Nonlinear Panel Data Methods for Dynamic Heterogeneous Agent Models," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 471-496, September.
    9. Guvenen, Fatih & Ozkan, Serdar & Madera, Rocio, 2024. "Consumption dynamics and welfare under non-Gaussian earnings risk," Journal of Economic Dynamics and Control, Elsevier, vol. 169(C).
    10. Edmund Crawley & Martin Holm & Håkon Tretvoll, 2022. "A Parsimonious Model of Idiosyncratic Income," Finance and Economics Discussion Series 2022-026, Board of Governors of the Federal Reserve System (U.S.).
    11. Joseph Altonji & Disa Hynsjo & Ivan Vidangos, 2023. "Individual Earnings and Family Income: Dynamics and Distribution," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 225-250, July.
    12. Isaak, Niklas & Jessen, Robin, 2024. "Moderation in Higher-Order Earnings Risk? Evidence from German Cohorts," IZA Discussion Papers 17568, Institute of Labor Economics (IZA).
    13. Elin Halvorsen & Serdar Ozkan & Sergio Salgado, 2022. "Earnings dynamics and its intergenerational transmission: Evidence from Norway," Quantitative Economics, Econometric Society, vol. 13(4), pages 1707-1746, November.
    14. Robert Kirkby, 2025. "Discretizing earnings dynamics: implications of Gaussian-mixture shocks for life-cycle models," The Japanese Economic Review, Springer, vol. 76(2), pages 493-519, April.
    15. Christopher Busch & Alexander Ludwig, 2024. "Higher‐Order Income Risk Over The Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(3), pages 1105-1131, August.
    16. Richard Audoly & Rory McGee & Sergio Ocampo & Gonzalo Paz-Pardo, 2024. "The Life-Cycle Dynamics of Wealth Mobility," Staff Reports 1097, Federal Reserve Bank of New York.
    17. Brant Abbott & Giovanni Gallipoli, 2022. "Permanent‐income inequality," Quantitative Economics, Econometric Society, vol. 13(3), pages 1023-1060, July.
    18. Gomes, Diego B.P. & Iachan, Felipe S. & Santos, Cezar, 2020. "Labor earnings dynamics in a developing economy with a large informal sector," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    19. Amengual, D.; Bueren, J.; Crego, J.A.;, 2017. "Endogenous Health Groups and Heterogeneous Dynamics of the Elderly," Health, Econometrics and Data Group (HEDG) Working Papers 17/18, HEDG, c/o Department of Economics, University of York.
    20. Hoffmann, Eran B. & Malacrino, Davide, 2019. "Employment time and the cyclicality of earnings growth," Journal of Public Economics, Elsevier, vol. 169(C), pages 160-171.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:toh:tupdaa:75. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tohoku University Library (email available below). General contact details of provider: https://edirc.repec.org/data/fetohjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.